Integration of fuzzy Shannon’s entropy with fuzzy TOPSIS for industrial robotic system section
Purpose: The aim of this study is applying a new method for Industrial robotic system selection. Design/methodology/approach: In this paper, the weights of each criterion are calculated using fuzzy Shannon’s Entropy. After that, fuzzy TOPSIS is utilized to rank the alternatives. Then we select the b...
| Autores: | , , |
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| Tipo de documento: | artigo |
| Data de publicação: | 2012 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2099/12682 |
| Acesso em linha: | https://hdl.handle.net/2099/12682 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Fuzzy systems Robotics entropy TOPSIS fuzzy set robotic systems Sistemes borrosos Robòtica industrial Àrees temàtiques de la UPC::Informàtica::Robòtica Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions |
| Resumo: | Purpose: The aim of this study is applying a new method for Industrial robotic system selection. Design/methodology/approach: In this paper, the weights of each criterion are calculated using fuzzy Shannon’s Entropy. After that, fuzzy TOPSIS is utilized to rank the alternatives. Then we select the best Industrial Robotic System based on these results. Findings and Originality/value: The outcome of this research is ranking and selecting industrial robotic systems with the help of Fuzzy Shannon’s Entropy and Fuzzy TOPSIS techniques. Originality/value: This paper offers a new integrated method for industrial robotic system selection. |
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